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Scores will appear once the review pipeline completes.
agentic-workflows
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts.
Choose how to use this skill
You do not need every option. Choose the path your AI client supports. The stable page stays the same; versioned files are immutable.
1. Native installer
This listing has no registered native installer command. Use the complete package or source fallback below, depending on what your client supports.
Do not guess an installer command or replace an existing version without reviewing the diff.
2. Complete package recommended
Download the ZIP when available. It includes SKILL.md plus the references, security notes and version metadata.
No complete ProSkills package is published for this listing yet.3. Prompt-only
Copy the prompt above when the agent can read the stable page or when you want to adopt the workflow without installing a skill.
Need only the instruction file?
Download SKILL.md only if your client requires a single file. The complete ZIP is safer for a full installation because it preserves the references and release context.
No path installs or executes anything by itself. Your agent still needs access to the project files. Before updating, compare the installed version and review the diff.
// RATINGS
Not yet listed on ClawHub or SkillsMP
// README
AgentRC
Context engineering for AI coding agents.
[!WARNING] Experimental — Under active development. Expect breaking changes. Open an issue with feedback.
AI coding agents work best when they know how to build, test, and lint your code — plus your architecture, conventions, and the external services your team relies on. Most repos ship none of that.
AgentRC reads your codebase and generates the files that close that gap — then evaluates whether they actually help, so the context doesn't go stale as your code evolves.
npx github:microsoft/agentrc
Works as a CLI, as a VS Code extension, and in your CI/CD pipeline to monitor drift. No config needed — runs on any repo with Node.js 22+.
What it does
Measure
Score your repo’s AI-readiness across 9 pillars and a 5-level maturity model. Find out what context is missing — from basic linting to MCP server configs.
npx github:microsoft/agentrc readiness
Generate
Produce tailored instruction files, evals, and dev configs via the Copilot SDK. No templates — AgentRC reads your actual code and generates context specific to your stack.
npx github:microsoft/agentrc instructions
Maintain
Context goes stale as your codebase evolves. Evaluate whether your instructions still improve agent responses, and run the check in CI so drift doesn't slip through.
npx github:microsoft/agentrc eval
AgentRC maintains itself with GitHub Agentic Workflows
This repository dogfoods GitHub Agentic Workflows for recurring maintenance and demos:
| Workflow | Purpose | Output |
|---|---|---|
| AgentRC Readiness Report | Runs AgentRC against this repository and explains the highest-impact gaps | One short-lived issue |
| AgentRC Readiness Upgrade | Improves one evidence-backed instruction and verifies the result | One draft PR |
| Issue Triage | Classifies new issues and asks for missing information | Bounded labels and one comment |
| CI Failure Doctor | Diagnoses failed CI from logs and repository changes | One issue or one comment |
The source workflows are Markdown. gh aw compile generates the reviewable .lock.yml workflows that GitHub Actions executes. CI fails when those generated files drift.
See Agentic Workflows for the architecture and maintenance commands. Use the golden demo runbook for the lone-maintainer narrative, exact stage flow, and fallback plan.
Works at every scale
| Workflow | Command |
|---|---|
| Interactive hub | agentrc |
| One-time setup | agentrc init |
| CI quality gate | agentrc readiness --fail-level 3 --json |
| Batch across an org | agentrc batch |
| Automated PR for any repo | agentrc pr owner/repo |
Works with GitHub and Azure DevOps. Supports monorepos, multi-root VS Code workspaces, and custom policies.
What gets generated
| File | Purpose |
|---|---|
.github/copilot-instructions.md | Teaches AI agents your repo's conventions |
.vscode/mcp.json | Connects AI to your stack's tools and data |
.vscode/settings.json | Tunes VS Code for AI-assisted development |
agentrc.eval.json | Test cases to measure instruction quality |
For multi-agent support (Copilot + Claude + others), generate
AGENTS.mdwith--output AGENTS.md. See Custom instructions in VS Code.
Works with APM
APM (Agent Package Manager) distributes agent instructions, skills, and prompts across repos — like npm for AI agent configs.
AgentRC generates the content. APM distributes it:
- In your project — run
agentrc initto generate instructions, thenapm install org/standardsto pull in shared agent packages from your team - For your team — create a dedicated APM package with your best instructions and skills, then teammates install it with
apm install - At scale —
apm auditscans for security issues;apm-policy.ymlenforces org standards across all repos
The .instructions.md format is shared by both tools — no conversion needed when moving instructions into APM packages.
Documentation
| Getting Started | Prerequisites and first run |
| Concepts | Maturity model, readiness pillars, how generation works |
| Commands | Full CLI reference |
| Configuration | Areas, workspaces, monorepos |
| Policies | Custom readiness scoring |
| At Scale | Batch processing across orgs |
| CI Integration | GitHub Actions & Azure Pipelines |
| VS Code Extension | Sidebar views, commands, settings |
| Agent Plugin | Install as a Copilot agent plugin with built-in skills |
| Agentic Workflows | Dogfooding, maintenance, and live demo guide |
| Golden Demo | Lone-maintainer story and stage-ready runbook |
| Examples | Configs, evals, and policies |
Customize AI in VS Code · Custom instructions · CONTRIBUTING.md
Troubleshooting
"Copilot CLI not found" — Install the GitHub Copilot Chat extension in VS Code. The CLI is bundled with it.
"Copilot CLI not logged in" — Run copilot in your terminal, then /login.
"GitHub auth required" — brew install gh && gh auth login, or set GITHUB_TOKEN (or GH_TOKEN).
"Azure DevOps auth required"
// HOW IT'S BUILT
KEY FILES